Question
A Quebec manufacturer of silicon computer chips have had many returns of their products with complaints of too much variation in resistance across the chips.
A Quebec manufacturer of silicon computer chips have had many returns of their products with complaints of too much variation in resistance across the chips. As a senior data analyst in the company you are required to do an audit of chip performance. The quality control department has randomly sampled 12 chips from a batch of several hundred chips, and measured the resistance from two different positions on each chip. See Table below:
Chip | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Pos. 1 | 6.11 | 5.60 | 4.95 | 5.90 | 5.57 | 5.83 | 5.46 | 6.23 | 5.63 | 6.02 | 6.12 | 5.55 |
Pos. 2 | 6.33 | 5.91 | 5.42 | 5.67 | 5.96 | 6.12 | 5.08 | 6.84 | 6.36 | 6.88 | 6.61 | 6.13 |
Diff. | -0.22 | -0.31 | -0.47 | 0.23 | -0.39 | -0.29 | 0.38 | -0.61 | -0.73 | -0.86 | -0.49 | -0.58 |
You are required to determine with 97% confidence is the mean difference in the resistance values is significant.
- What is the appropriate test to apply to this problem? Explain why it is appropriate and the statistical assumptions that apply.
b. Can you showwith 97% confidence if there is mean difference in the resistance values?
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